| --- |
| pretty_name: ERVLA AgiBot |
| language: |
| - en |
| tags: |
| - robotics |
| - embodied-chain-of-thought |
| - agibot |
| --- |
| |
| # ERVLA AgiBot |
|
|
| AgiBot demonstrations with embodied chain-of-thought annotations for |
| [ERVLA](https://arxiv.org/abs/2606.03784). |
| The demonstrations originate from [AgiBot World](https://agibot-world.com/). |
|
|
| | Content | Files | |
| | --- | ---: | |
| | Episode JSON | 776,158 | |
| | CoT JSON | 776,158 | |
| | Videos | 2,327,916 | |
|
|
| The dataset is distributed as independent `tar.zst` archives in `archives/`. |
| All archives extract into the same dataset root: |
|
|
| ```text |
| json/ |
| cot/ |
| videos/ |
| ``` |
|
|
| Paths in JSON and CoT are relative to this root. Archives contain the video |
| contents, with no symlinks or machine-specific ownership metadata. |
| Download every archive to restore the full dataset; individual archives may |
| contain only one content type. `archives.json` lists available archives and |
| their checksums. Its `complete` field becomes `true` after all archives have |
| been uploaded. |
|
|
| ```bash |
| hf download ERVLA/AgiBot --repo-type dataset --local-dir agibot |
| cd agibot |
| sha256sum -c SHA256SUMS |
| for archive in archives/*.tar.zst; do |
| tar --zstd -xf "$archive" |
| done |
| ``` |
|
|
| Extraction requires GNU tar and Zstandard (`zstd`). |
|
|
| End-effector projections were refreshed where camera calibration was |
| available; 2,145 CoT files retain their original projections. |
|
|
| [Project](https://taoshuaiz.github.io/ERVLA/) · [Paper](https://arxiv.org/abs/2606.03784) |
|
|
